The Application of Wavelet De-noising in the DTS Temperature Measurement System

2018 International Conference on Civil and Hydraulic Engineering

土木建筑工程;水利工程

Zhou, Feng^1,2 ; Gan, Jianjun^3 ; Lv, Huan^2 ; Cui, Ligang^2

Water Conservancy and Civil Engineering Infrastructure Safety Key Laboratory, Nanchang Institute of Technology, Nanchang

330099, China^1

Civil and Architectural Engineering School, Nanchang Institute of Technology, Nanchang

330099, China^2

School of Water Conservancy and Ecological Engineering, Nanchang Institute of Technology, 330099, China^3

关键词: De-noising algorithm;    Focus of researches;    Loss characteristics;    Measurement range;    Temperature measurement systems;    Temperature stress;    Wavelet denoising;    Wavelet threshold de-noising;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/189/2/022043/pdf
DOI  :  10.1088/1755-1315/189/2/022043

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

The DTS system is widely used in the fields of temperature warning, fire warning and so on. In recent years, it is often used in the civil engineering field to monitor the temperature field and temperature stress caused by the mass concrete. The monitoring range is mostly in the range of 10km, which is mainly limited to the high loss characteristics of the optical signal in the multimode fiber. If we want to increase the measurement range of the system, analysis method and signal denoising algorithm are the focus of research. In view of this, this chapter uses OTDR theory and Wavelet Threshold De-noising to filter and analyze the noise of high noise echo signal, and has achieved good results. The temperature measurement in the domestic temperature measurement system is less than 5km, and the temperature measured in this paper is about 10km.